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Education & AcademiaInteractive SessionHigher education teaching staff
Training examples for universities & schools
IS

Example detail

Reviewed for UX clarity and content quality

Academic Integrity and Responsible AI: Student Decisions in Practice

A ready-to-run interactive seminar on academic integrity and responsible AI use for first-year undergraduates, mixing live polls and paired discussion with scored knowledge checks.

Structure

11

Screens with 4 interactive checkpoints

Difficulty

Intermediate

30 minute runtime

Delivery

Export

Hosted-first + SCORM plus SCORM package downloads

Generate something like this
IS

Interactive preview

Interactive Session · 11 sections · Fully interactive

Answered
0/4
Correct
0
Time
0:00

Essay Draft Under Scrutiny

Scenario
4 min
You submit a first-year essay after asking an AI tool to draft two body paragraphs. A friend also sends you the structure they used for the same assignment, and you keep several useful phrases from sources without citing them. An integrity investigation would not focus on only one issue here: it would consider authorship, whether the work is truly independent, and whether every borrowed idea or wording is clearly credited.

Participant checklist

0 / 2 steps completed

  1. Read the case and identify which action worries you most.
    Reflect
  2. Compare your choice with someone near you and explain why.
    DiscussFacilitator confirms
  • Academic integrity concerns often involve more than one behaviour at once.
  • Investigations usually examine authorship, collaboration, and attribution together.

Scenario actions and likely risk areas

Use this case to discuss which choices may trigger an academic integrity concern.

Side-by-side comparison of Possible risk area, Why it matters across 4 criteria. AI drafts paragraphs: Possible risk area — Authorship concern; Why it matters — Work may no longer be the own. Friend shares structure: Possible risk area — Collusion risk; Why it matters — Another student's plan shapes. Uses uncited phrases: Possible risk area — Plagiarism risk; Why it matters — Source language is unatrrib.. Checks module rules first: Possible risk area — Lower risk practice; Why it matters — Shows rule awareness.
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Prompt in

Create an interactive seminar session for first-year undergraduates on academic integrity and responsible AI use: what counts as plagiarism and collusion, when AI tools are and are not acceptable, referencing basics, and the consequences of misconduct. Use polls, word clouds, and paired discussion around realistic student cases.

Why this example is strong

Quality review

Audience fit

Curated for higher education teaching staff with a intermediate learning curve.

Interaction mix

4 interactive checkpoints across context, poll, reading, word cloud, flashcard, think pair share, question, decision, feedback.

Prompt fidelity

One brief became an 11-section live seminar: a results-live poll, a word cloud, five referencing flashcards, a timed think-pair-share, a branching AI-rewrite decision with consequence panels, and four scored checks at a 70% pass mark.

Delivery format

Hosted-first + SCORM plus a reusable prompt seed for your review workflow.

Learning objectives

Understand the key principles of academic integrity
Identify critical aspects of responsible AI use
Apply plagiarism vs collusion concepts in practice
Demonstrate awareness of referencing basics requirements

Section walkthrough

What the learner sees

Navigate through sections using the interactive preview above.11 screens with 4 interactive checkpoints.

Regulation context

Compliance references carried into the output

Typical university academic integrity regulations on unauthorised collaboration and misrepresentation of authorship.
Standard academic referencing conventions used in university assessment policies and study skills guidance.
Typical university academic misconduct procedures covering plagiarism, intent, and penalty decisions.
Typical university academic integrity and assessment-misconduct procedures

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